{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T09:21:33Z","timestamp":1770283293883,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFB3312400"],"award-info":[{"award-number":["2024YFB3312400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFB3308100"],"award-info":[{"award-number":["2023YFB3308100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005050","name":"Young Talent Support Project of Guangzhou Association for Science and Technology","doi-asserted-by":"publisher","award":["QT-2024- 28"],"award-info":[{"award-number":["QT-2024- 28"]}],"id":[{"id":"10.13039\/501100005050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52205101"],"award-info":[{"award-number":["52205101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52475102"],"award-info":[{"award-number":["52475102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515240021"],"award-info":[{"award-number":["2023A1515240021"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3551494","type":"journal-article","created":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T17:47:01Z","timestamp":1741974421000},"page":"1-14","source":"Crossref","is-referenced-by-count":2,"title":["Intrinsically and Post-Hoc Interpretable Kolmogorov\u2013Arnold Network and Genetic Algorithm for Laser Deep Penetration Welding Parameters Optimization"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9873-5914","authenticated-orcid":false,"given":"Shuai","family":"Ma","sequence":"first","affiliation":[{"name":"State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment and Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4068-3910","authenticated-orcid":false,"given":"Jiewu","family":"Leng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment and Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6100-7332","authenticated-orcid":false,"given":"Zhuyun","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment and Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3477-2239","authenticated-orcid":false,"given":"Yixian","family":"Du","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Intelligent Lithium Battery Manufacturing Equipment Enterprises, Guangdong Lyric Robot Automation Company Ltd., Huizhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5851-6323","authenticated-orcid":false,"given":"Xiaoji","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Intelligent Lithium Battery Manufacturing Equipment Enterprises, Guangdong Lyric Robot Automation Company Ltd., Huizhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3561-6318","authenticated-orcid":false,"given":"Qiang","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment and Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109059"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2021.01.022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2022.01.032"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2021.06.137"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2020.07.196"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2021.11.619"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2020.106726"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2021.05.006"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2021.167990"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2019.12.014"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2020.02.118"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/2374068X.2020.1793264"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s12008-022-01000-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-06869-y"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.optlastec.2018.06.030","article-title":"Experimental research and multi-response multi-parameter optimization of laser cladding Fe313","volume":"108","author":"Yu","year":"2018","journal-title":"Opt. Laser Technol."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2019.05.396"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3084310"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.actamat.2020.10.010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3092221"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3376703"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2906399"},{"issue":"3","key":"ref22","doi-asserted-by":"crossref","first-page":"1659","DOI":"10.1007\/s10845-023-02283-1","article-title":"A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles","volume":"36","author":"Ma","year":"2025","journal-title":"J. Intell. Manuf."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122065"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.jmsy.2024.02.012","article-title":"A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions","volume":"74","author":"Ma","year":"2024","journal-title":"J. Manuf. Syst."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3345449"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110172"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109601","article-title":"Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery","volume":"240","author":"Shi","year":"2023","journal-title":"Rel. Eng. Syst. Saf."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3483954"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3195355"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2023.102033","article-title":"Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network","volume":"57","author":"Chen","year":"2023","journal-title":"Adv. Eng. Informat."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3417592"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112116"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1016\/j.rinp.2017.03.029","article-title":"Optimization of processing parameters of AISI 316L laser welding influenced by external magnetic field combining RBFNN and GA","volume":"7","author":"Cao","year":"2017","journal-title":"Results Phys."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2019.106027"},{"key":"ref35","article-title":"KAN: Kolmogorov\u2013arnold networks","author":"Liu","year":"2024","journal-title":"arXiv:2404.19756"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115736","article-title":"Explaining anomalies detected by autoencoders using Shapley additive explanations","volume":"186","author":"Antwarg","year":"2021","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"ref37","doi-asserted-by":"crossref","first-page":"1052","DOI":"10.1016\/j.jrmge.2022.01.002","article-title":"Investigation of feature contribution to shield tunneling-induced settlement using Shapley additive explanations method","volume":"14","author":"Kannangara","year":"2022","journal-title":"J. Rock Mech. Geotech. Eng."},{"key":"ref38","article-title":"Kolmogorov\u2013Arnold networks for time series: Bridging predictive power and interpretability","author":"Xu","year":"2024","journal-title":"arXiv:2406.02496"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/13621718.2019.1666222"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10927650.pdf?arnumber=10927650","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T23:34:13Z","timestamp":1743464053000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10927650\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3551494","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}